The Traveling Salesman Problem: A Case Study in Local Optimization

342 indexed citations

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This paper, published in 2008, received 342 indexed citations. Written by David S. Johnson and Lyle A. McGeoch covering the research area of Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Industrial and Manufacturing Engineering (184 citations), Artificial Intelligence (166 citations) and Computer Vision and Pattern Recognition (72 citations). Published in .

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Countries where authors are citing The Traveling Salesman Problem: A Case Study in Local Optimization

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This map shows the geographic impact of The Traveling Salesman Problem: A Case Study in Local Optimization. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by The Traveling Salesman Problem: A Case Study in Local Optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Traveling Salesman Problem: A Case Study in Local Optimization more than expected).

Fields of papers citing The Traveling Salesman Problem: A Case Study in Local Optimization

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Traveling Salesman Problem: A Case Study in Local Optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Traveling Salesman Problem: A Case Study in Local Optimization.

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This paper is also available at doi.org/w75971270.

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